Need help with your APIs? I offer API discovery, governance & evangelism services. Explore services →
API Evangelist API Evangelist
Discovery
Learnings
Guidance
Toolbox
Alignment
API Evangelist LLC
LeoLabs website screenshot

LeoLabs

LeoLabs is a commercial space situational awareness company that operates a global network of phased-array radars and a cloud analytics platform delivering what it calls Persistent Orbital Intelligence for low Earth orbit. It independently tracks more than 23,000 objects in LEO and turns those radar observations into a commercial catalog, orbital state vectors, conjunction alerts, maneuver detection, pattern-of-life analysis and launch support for satellite operators, insurers, defense and civil space agencies. Customers reach the data either through the LeoLabs Platform web interface or, as LeoLabs describes it, "a suite of full-featured RESTful APIs for ground system integration and automation at scale" — the v1 Platform API over the catalog, radar measurements, state vectors, TLEs, ephemeris propagation and radar tasking. The company is backed by Insight Partners.

agent ready

Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.

Kin Score

API Evangelist profiles LeoLabs the way a machine reads it — 7 machine-readable artifacts across 2 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.

Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — LeoLabs scores 44.9/100 (thin), with a separate agent-readiness read of 47/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 44.9/100 · thin
Contract Quality 14.8 / 25
Developer Ergonomics 12.6 / 20
Commercial Clarity 6.8 / 20
Operational Transparency 1.4 / 13
Governance 0.0 / 12
Discoverability 9.3 / 10
Agent readiness — 47/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 0 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 5 / 5
Well-Known Catalog 4 / 4
Consent & Bot Identity 0 / 3

How we profile LeoLabs

Each block below is one kind of artifact we hold for LeoLabs. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.

APIs 2

Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.

Individual APIs this provider publishes, each with its own machine-readable definition.

LeoLabs catalog API

LeoLabs catalog of tracked LEO objects, their measurements, states and propagations.

LeoLabs instruments API

LeoLabs radar instruments and their tasking.

MCP Servers 1

Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.

Model Context Protocol servers that expose these APIs to AI agents.

leo-labs-mcp.yml

MCP SERVER

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Leo Labs Authentication

apiKey · 1 scheme

SECURITY

Leo Labs Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Leo Labs Vulnerability Disclosure

disclosure policy published

SECURITY

Scopes 1

OAuth scopes are the vocabulary of least-privilege access. Profiling them shows exactly what an integration — or an agent acting on a user's behalf — is allowed to do.

OAuth scopes governing access to this provider's APIs.

Leo Labs Scopes

OAuth 2.0 · no documented scopes

0 scopes

SCOPES

Resources

Every other property we hold for LeoLabs — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.

Get Started 2

Portal, sign-up, and the first successful call

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Build 3

SDKs, sample code, and the tooling you integrate with

Operate 1

Status, limits, changes, and where to get help

Commercial 2

Pricing, plans, and the legal terms of use

Company 3

The organization behind the API

← All providers · Data indexed from github.com/api-evangelist/leo-labs · machine-readable index on apis.io